Inferning 2013‎ > ‎


Details and PDFs available here. Videos of the contributed talks and spotlights are available here.

Contributed Talks

  • Sebastian Nowozin
    Constructing Composite Likelihoods in General Random Fields
  • Jiarong Jiang, Taesun Moon, Hal Daume III
    Prioritized Asynchronous Belief Propagation
  • Franziska Meier, Amir Globerson, Fei Sha
    The More the Merrier: Parameter Learning for Graphical Models with Multiple MAPs
  • Fuxin Li, Joao Luis Carreira, Guy Lebanon, Cristian Sminchisescu
    CSI: Composite Statistical Inference for Semantic Segmentation
  • William Yang Wang, Kathryn Mazaitis, William W. Cohen
    Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic
  • Ujjwal Das Gupta, Srinivasan Sriram, Sanjeev Sharma, Russell Greiner
    Learning Markov Networks with Bounded Inference Complexity


  1. Jiaji Zhou, Stephane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
    Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization
  2. Debasish Das, Auroop R. Ganguly, Zoran Obradovic
    A Sparse Bayesian Model for Dependence Analysis of Extremes: Climate Applications
  3. Stephen H Bach, Bert Huang, Lise Getoor
    Learning Latent Groups with Hinge-loss Markov Random Fields
  4. Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey Hinton
    Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine
  5. Daniel Lowd, Amirmohammad Rooshenas
    Learning Markov Networks With Arithmetic Circuits
  6. Khaled S. Refaat, Arthur Choi, Adnan Darwiche
    EDML for Learning Parameters in Directed and Undirected Graphical Models
  7. Rajhans Samdani, Kai-Wei Chang, Dan Roth
    A Discriminative Latent Variable Model for Clustering of Streaming Data with Application to Coreference Resolution
  8. Natalia Flerova, Radu Marinescu, Rina Dechter
    Anytime AND/OR Best-First Search for Optimization in Graphical Models
  9. Lars Otten, Rina Dechter
    A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models
  10. Stefano Ermon, Carla P Gomes, Ashish Sabharwal, Bart Selman
    Discrete Integration by Decoding Binary Codes
  11. Robert Gens, Pedro Domingos
    Learning the Structure of Sum-Product Networks
  12. Tsukasa Omoto, Koji Eguchi, Shotaro Tora
    Hybrid Parallel Inference for Hierarchical Dirichlet Process
  13. Daniel Munoz, Alexander Grubb, J. Andrew Bagnell, Martial Hebert
    Using Inference Machines for Perception Tasks